/*
 * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
 * or more contributor license agreements. Licensed under the Elastic License
 * 2.0 and the Server Side Public License, v 1; you may not use this file except
 * in compliance with, at your election, the Elastic License 2.0 or the Server
 * Side Public License, v 1.
 */

package org.elasticsearch.gradle.internal;

import org.elasticsearch.gradle.Version;

/*
 * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
 * or more contributor license agreements. Licensed under the Elastic License
 * 2.0 and the Server Side Public License, v 1; you may not use this file except
 * in compliance with, at your election, the Elastic License 2.0 or the Server
 * Side Public License, v 1.
 */

package org.elasticsearch.gradle.internal

import org.elasticsearch.gradle.fixtures.AbstractGradleFuncTest

//   - Optional (mandatory if <IAMSTS> is true): Set Endpoints for IAM and STS processing.
//
//   - Optional: Set server preferences for Backup & Replication parallel sessions, batch size of deletes, and block sizes (before
//     compression). This is an optional area; by default, there should be no <SystemRecommendations> section in the
//     system.xml. Vendors can work with Veeam Product Management and the Alliances team on getting approval to integrate

    assert response.json() == {"file_size": 5}


# =====================================================================================
# Alias and validation alias


@app.post(
    "/optional-bytes-alias-and-validation-alias",
    operation_id="optional_bytes_alias_and_validation_alias",
)
def read_optional_bytes_alias_and_validation_alias(
    p: Annotated[

@app.get("/model-optional-list-alias-and-validation-alias")
def read_model_optional_list_alias_and_validation_alias(
    p: Annotated[QueryModelOptionalListAliasAndValidationAlias, Query()],
):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    [
        "/optional-list-alias-and-validation-alias",
        "/model-optional-list-alias-and-validation-alias",
    ],
)

	}
	// cleaning up the backend by removing all the directories and files created on function return.
	defer removeRoots(disks)

	// uses *testing.B and the object Layer to run the benchmark.
	runPutObjectPartBenchmark(b, objLayer, objSize)
}

// creates Erasure/FS backend setup, obtains the object layer and calls the runPutObjectBenchmark function.

But when checking benchmarks and comparisons you should keep the following in mind.

## Benchmarks and speed { #benchmarks-and-speed }

When you check the benchmarks, it is common to see several tools of different types compared as equivalent.

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

## Decision

Introduce a "UI" architecture module to the core platform, and move the user interaction services to this new module.

This includes:

- Logging and progress services.
- Problem generation services (aka the "problems API").
- User prompting services.
- Build options infrastructure.
- The console and CLI, as a specific implementation of these services.

   
     * If you have above configuration and using _**Windows**_ platform -
       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the %PATH% environment variable.
       * Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup).
     * If you have above configuration and using _**Ubuntu/Linux**_ platform -

For example, let's say that you want to have a *path operation* that allows to update items, and returns HTTP status codes of 200 "OK" when successful.

But you also want it to accept new items. And when the items didn't exist before, it creates them, and returns an HTTP status code of 201 "Created".